Senior Manager, Data and Analytics Services

Senior Manager, Data and Analytics Services

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives.

Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives.

Labcorp is seeking a Senior Manager, Data & Analytics Services to join our team at Bengaluru, India Office.

Work Schedule: This is a full‑time, exempt (salaried) position assigned to a Second Shift schedule, with standard business hours of Monday through Friday, 11:00 a.m. to 8.00 p.m.in your local time zone. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

Job Responsibilities

Team Development and Mentorship

• Lead, coach, mentor, and develop high-performing teams of Data Engineers, Analytics Engineers, and technical professionals.

Technical Oversight & Delivery and Operations

• Lead solution design, architecture reviews, and technical governance for enterprise data, analytics, reporting, and AI initiatives.
• Oversee the end-to-end delivery of enterprise solutions, ensuring quality, security, scalability, and alignment with business objectives.
• Guide teams in the design and implementation of modern cloud-based data platforms leveraging technologies such as Snowflake, Databricks, AWS, and related services.
• Establish and enforce best practices for data engineering, data governance, data quality, security, and operational support.
• Drive adoption of AI-powered engineering tools and AI-Driven Development Lifecycle (AI-DLC) practices across design, development, testing, deployment, and support activities.
• Evaluate emerging technologies and lead proof-of-concept initiatives to improve platform capabilities and delivery efficiency.
• Collaborate with enterprise architecture, infrastructure, security, and operations teams to ensure alignment with enterprise standards.
• Manage technical risks, dependencies, and delivery challenges while ensuring successful project outcomes.
• Support executive reporting, business intelligence, analytics, and data-driven decision-making initiatives.
• Serve as a trusted advisor to business and technology leadership on data, analytics, AI, and enterprise platform strategy.
• Drive workforce planning, capacity management, resource allocation, utilization tracking, performance management, and succession planning.
• Foster a culture of innovation, accountability, continuous learning, and engineering excellence.

Collaboration and Stakeholder Management

• Partner with business stakeholders, product owners, project managers, and architects to translate business requirements into scalable technology solutions.

Innovation and Emerging Technologies

• Stay current with emerging technologies and industry trends to inform innovation and continuous improvement efforts.

Minimum Qualifications

• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
• 10 or more years of experience in Data Engineering, Data Warehousing, Analytics, or related technology domains.
• 5 or more years of experience leading and managing technical teams, including performance management, coaching, and talent development.
• 5 or more years of experience delivering enterprise-scale data, analytics, and reporting solutions using Snowflake, Databricks, AWS, and modern cloud technologies.
• 5 or more years of strong expertise in Data Engineering, Data Warehousing, Data Modeling, ETL/ELT frameworks, Data Governance, and Analytics platforms.
• 4 or more years of experience leading solution architecture reviews, technical design governance, and large-scale implementation programs.
• Strong understanding of Data Lake, Lakehouse, and modern cloud-based data platform architectures.
• 5 or more years of hands-on experience with technologies such as Python, PySpark, Spark, SQL, and enterprise data integration tools.
• 4 or more years of experience with business intelligence and visualization platforms such as Power BI, Tableau, or similar technologies.

Additional Job Standards

• Strong knowledge of Agile delivery methodologies, DevOps, CI/CD practices, and cloud-native solution development.
• Excellent stakeholder management, communication, leadership, and problem-solving skills.
• Experience in Healthcare, Diagnostics, Life Sciences, or Pharma industry is preferred.
• Experience leveraging AI-assisted development tools and implementing AI-driven engineering practices to improve delivery effectiveness and productivity.

About the Role
We are seeking a highly skilled Senior Manager, Data & Analytics Services with 10 plus years of experience in Leading solution design, architecture reviews, and technical governance for enterprise data, analytics, reporting, and AI initiatives and oversee the end-to-end delivery of enterprise solutions, ensuring quality, security, scalability, and alignment with business objectives.

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. 

We encourage all to apply

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Experience Level

Senior Level